The Memoryless Precision of Flow: From Markov Chains to Everyday Wonder
The Markov Property: Future Depends Only on Now At the heart of probabilistic modeling lies the Markov property—a principle asserting that the future state of a system depends solely on its current state, not on the sequence of events that preceded it. This memoryless trait simplifies complex dynamics by eliminating the need to track every … Read more The Memoryless Precision of Flow: From Markov Chains to Everyday Wonder
